{"id":"W2102015486","doi":"10.1111/test.12019","title":"Regression Analysis and the Sociological Imagination","year":2013,"lang":"en","type":"article","venue":"Teaching Statistics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regression analysis; Sociology; Regression; Inequality; Social science; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03300685,0.0005857132,0.0007003283,0.002599789,0.002200231,0.004032219,0.00147713,0.001275204,0.001561545],"category_scores_gemma":[0.04983282,0.0002694804,0.0005588101,0.001539119,0.02918542,0.004393888,0.001814418,0.009018975,0.0003203771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006201583,"about_ca_system_score_gemma":0.006326988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026073,"about_ca_topic_score_gemma":0.01747498,"domain_scores_codex":[0.9828389,0.01355843,0.000399308,0.0006649221,0.002209881,0.0003284297],"domain_scores_gemma":[0.9280147,0.06351998,0.001240025,0.002059148,0.004531171,0.0006349798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001242162,0.00001975287,0.001089064,0.00008609552,0.00001640012,0.00003947439,0.002698048,0.001218704,0.00006892352,0.967856,0.01213747,0.01475769],"study_design_scores_gemma":[0.00001273909,0.00001829896,0.001138006,0.0002242749,0.000009714447,0.00003970669,0.002910333,0.004108518,0.0001885321,0.9273946,0.06393337,0.00002187525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02467717,0.02114782,0.1710476,0.7161192,0.003193615,0.00005352049,0.0002958786,0.0002758678,0.06318923],"genre_scores_gemma":[0.8434707,0.0188355,0.08325318,0.0305298,0.007572598,0.000212808,0.0001713968,0.0003091593,0.01564488],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03300685,"threshold_uncertainty_score":0.174559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962941143607699,"score_gpt":0.3753921794254195,"score_spread":0.3557627679893425,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}